Artificial Intelligence in Internal Medicine: A Practical Clinical Encyclopedia of Generative AI, Decision Support, Diagnosis, Safety, Governance, and Implementation

By Adrian Mercer

Artificial intelligence is already changing internal medicine. The real question is: are you prepared to use it intelligently, critically, and safely?

From generative AI and clinical decision support to predictive analytics, diagnostic assistance, documentation, workflow automation, and population-level insights, artificial intelligence is rapidly becoming part of modern healthcare.

But knowing that AI exists is not enough.

Clinicians, residents, educators, and healthcare leaders increasingly need to understand what these systems can actually do, where they can fail, how their evidence should be evaluated, and how they can be introduced into clinical practice without losing human judgment.

Artificial Intelligence in Internal Medicine is a comprehensive, clinician-focused reference designed to bridge the gap between rapidly evolving AI technology and the realities of everyday medical practice.

Inside this book, you will discover:

- The essential foundations of artificial intelligence, machine learning, deep learning, and generative AI-explained for healthcare professionals

- How AI can support clinical reasoning, diagnosis, risk prediction, documentation, and decision-making

- Practical applications across major areas of internal medicine

- How large language models and generative AI are entering clinical workflows

- The strengths, limitations, biases, and failure modes clinicians need to recognize

- How to critically evaluate AI studies, performance claims, validation, and real-world usefulness

- Patient-safety, privacy, ethical, legal, and governance considerations surrounding clinical AI

- Approaches to implementation, monitoring, model drift, workflow integration, and change management

- How AI may reshape medical education, the healthcare workforce, leadership, and clinical practice

- A forward-looking examination of the future of AI-enabled internal medicine

This is not a programming textbook.

You do not need to be a data scientist or software engineer to benefit from it.

The focus is on helping medical professionals understand AI well enough to question it, evaluate it, work alongside it, and make better-informed decisions about when-and when not-to trust it.

Whether you are a physician, hospitalist, resident, medical student, educator, clinical leader, health-system administrator, or healthcare professional preparing for an AI-enabled future, this book provides a structured framework for navigating one of the most important transformations in modern medicine.

AI will not remove the need for clinical judgment.

It will make understanding when and how to apply that judgment even more important.

Artificial Intelligence in Internal Medicine gives you the knowledge, frameworks, and practical perspective needed to approach clinical AI with greater clarity, confidence, and caution.

Prepare for the future of medicine-without losing sight of what makes medicine human.

• Format: Paperback
• Language: English
• ISBN: B0HMWN2TFB
• ISBN13: 9798162072720
• Release Date: October 2026
• Publisher: Independently published
• Length: 351 Pages
• Weight: 1.80 lbs.
• Dimensions: 11.0" x 0.8" x 8.5"